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<div class="title">DirectConvolutionLayerFixture.h</div>  </div>
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<a href="_direct_convolution_layer_fixture_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_assets_library_8h.xhtml">tests/AssetsLibrary.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_globals_8h.xhtml">tests/Globals.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_accessor_8h.xhtml">tests/IAccessor.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_asserts_8h.xhtml">tests/framework/Asserts.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_fixture_8h.xhtml">tests/framework/Fixture.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2_helpers_8h.xhtml">tests/validation/Helpers.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="validation_2fixtures_2_convolution_layer_fixture_8h.xhtml">tests/validation/fixtures/ConvolutionLayerFixture.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2reference_2_convolution_layer_8h.xhtml">tests/validation/reference/ConvolutionLayer.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#include &lt;random&gt;</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;{</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;{</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="keyword">namespace </span>validation</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> AccessorType, <span class="keyword">typename</span> FunctionType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml">   44</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml">DirectConvolutionValidationGenericFixture</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml">framework::Fixture</a></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml#ad6dc80aa0e6af9b0ab649540c58995a8">   47</a></span>&#160;    <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml#ad6dc80aa0e6af9b0ab649540c58995a8">TBias</a> = <span class="keyword">typename</span> <a class="code" href="namespacecaffe__data__extractor.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">std::conditional&lt;std::is_same&lt;typename std::decay&lt;T&gt;::type</a>, uint8_t&gt;<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">::value</a>, int32_t, T&gt;<a class="code" href="namespacecaffe__data__extractor.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">::type</a>;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt;</div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml#af8e2a3921565046434bb1f71553e2dfe">   51</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml#af8e2a3921565046434bb1f71553e2dfe">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <span class="keywordtype">int</span> stride_x, <span class="keywordtype">int</span> stride_y, <span class="keywordtype">int</span> pad_x, <span class="keywordtype">int</span> pad_y, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernel_size, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_kernels,</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;               <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <span class="keywordtype">int</span> fractional_bits, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> quantization_info)</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    {</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        _fractional_bits   = fractional_bits;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;        _quantization_info = quantization_info;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;        _data_type         = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>   weights_shape(kernel_size, kernel_size, input_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a336121cb63ed79fa0a072eed03d694ac">z</a>(), num_kernels);</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>   bias_shape(num_kernels);</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>(stride_x, stride_y, pad_x, pad_y, <a class="code" href="namespacearm__compute.xhtml#a1fece1bd804e64f39f602d1c3969849aa56c1e354d36beb85b0d881c5b2e24cbe">DimensionRoundingType::FLOOR</a>);</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>   <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>   = get_output_shape(input_shape, weights_shape, info);</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>      bias_data_type = <a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(data_type) ? <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a> : <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        _target    = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, fractional_bits, quantization_info);</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, fractional_bits, quantization_info);</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    }</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt;</div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml#ae1ea611946db64d6b46b668bb242c121">   69</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml#ae1ea611946db64d6b46b668bb242c121">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> weights_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> bias_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>,</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;               <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <span class="keywordtype">int</span> fractional_bits, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> quantization_info)</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    {</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        _fractional_bits   = fractional_bits;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        _quantization_info = quantization_info;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        _data_type         = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> bias_data_type = <a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(data_type) ? <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a> : <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        _target    = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, fractional_bits, quantization_info);</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;        _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, fractional_bits, quantization_info);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    }</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="keyword">protected</span>:</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <span class="keywordtype">void</span> fill(<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> &amp;&amp;tensor, <span class="keywordtype">int</span> i)</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    {</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;        <span class="keywordflow">switch</span>(tensor.data_type())</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        {</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>:</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;            {</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;                std::uniform_int_distribution&lt;uint8_t&gt; distribution(0, 50);</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;                <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(tensor, distribution, i);</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;            }</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;            {</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;                std::uniform_real_distribution&lt;&gt; distribution(-1.0f, 1.0f);</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;                <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(tensor, distribution, i);</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;            }</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>:</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;            {</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;                std::uniform_int_distribution&lt;int32_t&gt; distribution(-5, 5);</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;                <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(tensor, distribution, i);</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;            }</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;            <span class="keywordflow">default</span>:</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;                <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill_tensor_uniform(tensor, i);</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        }</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    }</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    TensorType compute_target(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;input_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;weights_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;bias_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>,</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;                              <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> bias_data_type, <span class="keywordtype">int</span> fixed_point_position, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> quantization_info)</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    {</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        <span class="comment">// Create tensors</span></div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;        TensorType <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>     = create_tensor&lt;TensorType&gt;(input_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position, quantization_info);</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        TensorType weights = create_tensor&lt;TensorType&gt;(weights_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position, quantization_info);</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;        TensorType bias    = create_tensor&lt;TensorType&gt;(bias_shape, bias_data_type, 1, fixed_point_position, quantization_info);</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;        TensorType <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>     = create_tensor&lt;TensorType&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position, quantization_info);</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;        <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;        FunctionType <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a>;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;        conv.configure(&amp;src, &amp;weights, &amp;bias, &amp;dst, info);</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(src.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(weights.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(bias.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(dst.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        <span class="comment">// Allocate tensors</span></div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;        src.allocator()-&gt;allocate();</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;        weights.allocator()-&gt;allocate();</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;        bias.allocator()-&gt;allocate();</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        dst.allocator()-&gt;allocate();</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!src.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!weights.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!bias.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!dst.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;        <span class="comment">// Fill tensors</span></div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;        fill(AccessorType(src), 0);</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;        fill(AccessorType(weights), 1);</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;        fill(AccessorType(bias), 2);</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;        <span class="comment">// Compute NEConvolutionLayer function</span></div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;        conv.run();</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    }</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> compute_reference(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;input_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;weights_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;bias_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;output_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;info,</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;                                      <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> bias_data_type, <span class="keywordtype">int</span> fixed_point_position, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> quantization_info)</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    {</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;        <span class="comment">// Create reference</span></div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a>     <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>{ input_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position, quantization_info };</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a>     weights{ weights_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position, quantization_info };</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;TBias&gt;</a> bias{ bias_shape, bias_data_type, 1, fixed_point_position, quantization_info };</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;        <span class="comment">// Fill reference</span></div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;        fill(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, 0);</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;        fill(weights, 1);</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;        fill(bias, 2);</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;        <span class="keywordflow">return</span> reference::convolution_layer&lt;T&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, weights, bias, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>);</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    }</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    TensorType       _target{};</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a>  _reference{};</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    <span class="keywordtype">int</span>              _fractional_bits{};</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> _quantization_info{};</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>         _data_type{};</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> get_output_shape(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> in_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> kernel_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;info)</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    {</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> out_shape(in_shape);</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;        <span class="keyword">const</span> std::pair&lt;unsigned int, unsigned int&gt; scaled_dims = <a class="code" href="namespacearm__compute.xhtml#a3d3d8bf7b86db4d7d4ebfe5b332f41b3">scaled_dimensions</a>(in_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#afb5cd37bb08f1029691590372e6330f0">x</a>(),</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;                                                                                    in_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a691c9cb93365c2e33f3429de43244098">y</a>(),</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;                                                                                    kernel_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#afb5cd37bb08f1029691590372e6330f0">x</a>(),</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;                                                                                    kernel_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a691c9cb93365c2e33f3429de43244098">y</a>(),</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;                                                                                    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>);</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;        out_shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a3095e0ccbbc39daf5b3816193edca6ad">set</a>(0, scaled_dims.first);</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;        out_shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a3095e0ccbbc39daf5b3816193edca6ad">set</a>(1, scaled_dims.second);</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;        out_shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a3095e0ccbbc39daf5b3816193edca6ad">set</a>(2, kernel_shape[3]);</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;        <span class="keywordflow">return</span> out_shape;</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    }</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;};</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> AccessorType, <span class="keyword">typename</span> FunctionType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00191"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixture.xhtml">  191</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixture.xhtml">DirectConvolutionValidationFixture</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml">DirectConvolutionValidationGenericFixture&lt;TensorType, AccessorType, FunctionType, T&gt;</a></div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;{</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt;</div><div class="line"><a name="l00195"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixture.xhtml#aa066ba38977b9ce2addae3ad1b9396b6">  195</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixture.xhtml#aa066ba38977b9ce2addae3ad1b9396b6">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <span class="keywordtype">int</span> stride_x, <span class="keywordtype">int</span> stride_y, <span class="keywordtype">int</span> pad_x, <span class="keywordtype">int</span> pad_y, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernel_size, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_kernels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>)</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    {</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">DirectConvolutionValidationGenericFixture&lt;TensorType, AccessorType, FunctionType, T&gt;::setup</a>(input_shape, stride_x, stride_y, pad_x, pad_y, kernel_size, num_kernels, data_type, 0, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>());</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    }</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;};</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> AccessorType, <span class="keyword">typename</span> FunctionType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00202"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixed_point_fixture.xhtml">  202</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixed_point_fixture.xhtml">DirectConvolutionValidationFixedPointFixture</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml">DirectConvolutionValidationGenericFixture&lt;TensorType, AccessorType, FunctionType, T&gt;</a></div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;{</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt;</div><div class="line"><a name="l00206"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixed_point_fixture.xhtml#a80cf460fccc2e11417a5e9ac50f573f1">  206</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixed_point_fixture.xhtml#a80cf460fccc2e11417a5e9ac50f573f1">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <span class="keywordtype">int</span> stride_x, <span class="keywordtype">int</span> stride_y, <span class="keywordtype">int</span> pad_x, <span class="keywordtype">int</span> pad_y, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernel_size, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_kernels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <span class="keywordtype">int</span> fractional_bits)</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    {</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">DirectConvolutionValidationGenericFixture&lt;TensorType, AccessorType, FunctionType, T&gt;::setup</a>(input_shape, stride_x, stride_y, pad_x, pad_y, kernel_size, num_kernels, data_type, fractional_bits,</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;                                                                                                    <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>());</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    }</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;};</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> AccessorType, <span class="keyword">typename</span> FunctionType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00214"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_quantized_fixture.xhtml">  214</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_quantized_fixture.xhtml">DirectConvolutionValidationQuantizedFixture</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml">DirectConvolutionValidationGenericFixture&lt;TensorType, AccessorType, FunctionType, T&gt;</a></div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;{</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt;</div><div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_quantized_fixture.xhtml#afecceaeb93c4090c820cdc74f5b41052">  218</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_quantized_fixture.xhtml#afecceaeb93c4090c820cdc74f5b41052">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <span class="keywordtype">int</span> stride_x, <span class="keywordtype">int</span> stride_y, <span class="keywordtype">int</span> pad_x, <span class="keywordtype">int</span> pad_y, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernel_size, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_kernels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> quantization_info)</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    {</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">DirectConvolutionValidationGenericFixture&lt;TensorType, AccessorType, FunctionType, T&gt;::setup</a>(input_shape, stride_x, stride_y, pad_x, pad_y, kernel_size, num_kernels, data_type, 0, quantization_info);</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    }</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;};</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> AccessorType, <span class="keyword">typename</span> FunctionType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00225"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_quantized_fixture.xhtml">  225</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_quantized_fixture.xhtml">DirectConvolutionValidationWithTensorShapesQuantizedFixture</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml">DirectConvolutionValidationGenericFixture&lt;TensorType, AccessorType, FunctionType, T&gt;</a></div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;{</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt;</div><div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_quantized_fixture.xhtml#a0a5ae5ad5e0b43ef9051908a4dc21624">  229</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_quantized_fixture.xhtml#a0a5ae5ad5e0b43ef9051908a4dc21624">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> weights_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> bias_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>,</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;               <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> quantization_info)</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    {</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">DirectConvolutionValidationGenericFixture&lt;TensorType, AccessorType, FunctionType, T&gt;::setup</a>(input_shape, weights_shape, bias_shape, output_shape, info, data_type, 0, quantization_info);</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    }</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;};</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> AccessorType, <span class="keyword">typename</span> FunctionType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00237"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_fixture.xhtml">  237</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_fixture.xhtml">DirectConvolutionValidationWithTensorShapesFixture</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml">DirectConvolutionValidationGenericFixture&lt;TensorType, AccessorType, FunctionType, T&gt;</a></div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;{</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt;</div><div class="line"><a name="l00241"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_fixture.xhtml#ab9edf693ee9802848ab27cde76c5d7b5">  241</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_fixture.xhtml#ab9edf693ee9802848ab27cde76c5d7b5">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> weights_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> bias_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>,</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;               <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>)</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;    {</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">DirectConvolutionValidationGenericFixture&lt;TensorType, AccessorType, FunctionType, T&gt;::setup</a>(input_shape, weights_shape, bias_shape, output_shape, info, data_type, 0, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>());</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    }</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;};</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="_i_accessor_8h_xhtml"><div class="ttname"><a href="_i_accessor_8h.xhtml">IAccessor.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a336121cb63ed79fa0a072eed03d694ac"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a336121cb63ed79fa0a072eed03d694ac">arm_compute::Dimensions::z</a></div><div class="ttdeci">T z() const </div><div class="ttdoc">Alias to access the size of the third dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00091">Dimensions.h:91</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1fece1bd804e64f39f602d1c3969849aa56c1e354d36beb85b0d881c5b2e24cbe"><div class="ttname"><a href="namespacearm__compute.xhtml#a1fece1bd804e64f39f602d1c3969849aa56c1e354d36beb85b0d881c5b2e24cbe">arm_compute::DimensionRoundingType::FLOOR</a></div><div class="ttdoc">Floor rounding. </div></div>
<div class="ttc" id="tests_2validation_2reference_2_convolution_layer_8h_xhtml"><div class="ttname"><a href="tests_2validation_2reference_2_convolution_layer_8h.xhtml">ConvolutionLayer.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adf88bb8e946175c496fb362aa458128b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">arm_compute::test::validation::conv</a></div><div class="ttdeci">int16_t conv[25]</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00140">Convolution.cpp:140</a></div></div>
<div class="ttc" id="tests_2validation_2_helpers_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_helpers_8h.xhtml">Helpers.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_quantized_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_quantized_fixture.xhtml">arm_compute::test::validation::DirectConvolutionValidationWithTensorShapesQuantizedFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00225">DirectConvolutionLayerFixture.h:225</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixed_point_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixed_point_fixture.xhtml">arm_compute::test::validation::DirectConvolutionValidationFixedPointFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00202">DirectConvolutionLayerFixture.h:202</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_quantized_fixture_xhtml_afecceaeb93c4090c820cdc74f5b41052"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_quantized_fixture.xhtml#afecceaeb93c4090c820cdc74f5b41052">arm_compute::test::validation::DirectConvolutionValidationQuantizedFixture::setup</a></div><div class="ttdeci">void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels, DataType data_type, QuantizationInfo quantization_info)</div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00218">DirectConvolutionLayerFixture.h:218</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -&gt; set_format(Format::S16)</div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel </div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_afb5cd37bb08f1029691590372e6330f0"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#afb5cd37bb08f1029691590372e6330f0">arm_compute::Dimensions::x</a></div><div class="ttdeci">T x() const </div><div class="ttdoc">Alias to access the size of the first dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00081">Dimensions.h:81</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 S32 per channel </div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml">arm_compute::test::framework::Fixture</a></div><div class="ttdoc">Abstract fixture class. </div><div class="ttdef"><b>Definition:</b> <a href="_fixture_8h_source.xhtml#l00037">Fixture.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture_xhtml_af8e2a3921565046434bb1f71553e2dfe"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml#af8e2a3921565046434bb1f71553e2dfe">arm_compute::test::validation::DirectConvolutionValidationGenericFixture::setup</a></div><div class="ttdeci">void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels, DataType data_type, int fractional_bits, QuantizationInfo quantization_info)</div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00051">DirectConvolutionLayerFixture.h:51</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</a></div></div>
<div class="ttc" id="_globals_8h_xhtml"><div class="ttname"><a href="_globals_8h.xhtml">Globals.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixed_point_fixture_xhtml_a80cf460fccc2e11417a5e9ac50f573f1"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixed_point_fixture.xhtml#a80cf460fccc2e11417a5e9ac50f573f1">arm_compute::test::validation::DirectConvolutionValidationFixedPointFixture::setup</a></div><div class="ttdeci">void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels, DataType data_type, int fractional_bits)</div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00206">DirectConvolutionLayerFixture.h:206</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a71326f0909d77386e29b511e1990a11f"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">arm_compute::test::library</a></div><div class="ttdeci">std::unique_ptr&lt; AssetsLibrary &gt; library</div><div class="ttdef"><b>Definition:</b> <a href="main_8cpp_source.xhtml#l00059">main.cpp:59</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1_fixture_xhtml_a4fc01d736fe50cf5b977f755b675f11d"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">arm_compute::test::framework::Fixture::setup</a></div><div class="ttdeci">void setup()</div><div class="ttdoc">Setup function. </div><div class="ttdef"><b>Definition:</b> <a href="_fixture_8h_source.xhtml#l00048">Fixture.h:48</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7fc93f37dac131a1a40b7921f9df3a9a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">arm_compute::test::validation::output_shape</a></div><div class="ttdeci">output_shape</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00115">GEMM.cpp:115</a></div></div>
<div class="ttc" id="_assets_library_8h_xhtml"><div class="ttname"><a href="_assets_library_8h.xhtml">AssetsLibrary.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00491">Types.h:491</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_quantized_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_quantized_fixture.xhtml">arm_compute::test::validation::DirectConvolutionValidationQuantizedFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00214">DirectConvolutionLayerFixture.h:214</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture_xhtml_ae1ea611946db64d6b46b668bb242c121"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml#ae1ea611946db64d6b46b668bb242c121">arm_compute::test::validation::DirectConvolutionValidationGenericFixture::setup</a></div><div class="ttdeci">void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, DataType data_type, int fractional_bits, QuantizationInfo quantization_info)</div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00069">DirectConvolutionLayerFixture.h:69</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a14f46283f316e7f0fad301d5c1507e9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a></div><div class="ttdeci">bool is_data_type_quantized_asymmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of asymmetric quantized type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01029">Utils.h:1029</a></div></div>
<div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00278">hwc.hpp:278</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml">arm_compute::test::validation::DirectConvolutionValidationGenericFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00044">DirectConvolutionLayerFixture.h:44</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_quantized_fixture_xhtml_a0a5ae5ad5e0b43ef9051908a4dc21624"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_quantized_fixture.xhtml#a0a5ae5ad5e0b43ef9051908a4dc21624">arm_compute::test::validation::DirectConvolutionValidationWithTensorShapesQuantizedFixture::setup</a></div><div class="ttdeci">void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, DataType data_type, QuantizationInfo quantization_info)</div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00229">DirectConvolutionLayerFixture.h:229</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00059">SimpleTensor.h:59</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture_xhtml_ad6dc80aa0e6af9b0ab649540c58995a8"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml#ad6dc80aa0e6af9b0ab649540c58995a8">arm_compute::test::validation::DirectConvolutionValidationGenericFixture::TBias</a></div><div class="ttdeci">typename std::conditional&lt; std::is_same&lt; typename std::decay&lt; T &gt;::type, uint8_t &gt;::value, int32_t, T &gt;::type TBias</div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00047">DirectConvolutionLayerFixture.h:47</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_fixture.xhtml">arm_compute::test::validation::DirectConvolutionValidationWithTensorShapesFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00237">DirectConvolutionLayerFixture.h:237</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a3095e0ccbbc39daf5b3816193edca6ad"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a3095e0ccbbc39daf5b3816193edca6ad">arm_compute::TensorShape::set</a></div><div class="ttdeci">TensorShape &amp; set(size_t dimension, size_t value)</div><div class="ttdoc">Accessor to set the value of one of the dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00077">TensorShape.h:77</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_fixture_xhtml_ab9edf693ee9802848ab27cde76c5d7b5"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_fixture.xhtml#ab9edf693ee9802848ab27cde76c5d7b5">arm_compute::test::validation::DirectConvolutionValidationWithTensorShapesFixture::setup</a></div><div class="ttdeci">void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, DataType data_type)</div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00241">DirectConvolutionLayerFixture.h:241</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixture.xhtml">arm_compute::test::validation::DirectConvolutionValidationFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00191">DirectConvolutionLayerFixture.h:191</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a691c9cb93365c2e33f3429de43244098"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a691c9cb93365c2e33f3429de43244098">arm_compute::Dimensions::y</a></div><div class="ttdeci">T y() const </div><div class="ttdoc">Alias to access the size of the second dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00086">Dimensions.h:86</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a3d3d8bf7b86db4d7d4ebfe5b332f41b3"><div class="ttname"><a href="namespacearm__compute.xhtml#a3d3d8bf7b86db4d7d4ebfe5b332f41b3">arm_compute::scaled_dimensions</a></div><div class="ttdeci">const std::pair&lt; unsigned int, unsigned int &gt; scaled_dimensions(unsigned int width, unsigned int height, unsigned int kernel_width, unsigned int kernel_height, const PadStrideInfo &amp;pad_stride_info)</div><div class="ttdoc">Returns expected width and height of output scaled tensor depending on dimensions rounding mode...</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af3c1de77fd86df539395c75c17ec230e"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">arm_compute::test::validation::ARM_COMPUTE_EXPECT</a></div><div class="ttdeci">ARM_COMPUTE_EXPECT(src.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)</div></div>
<div class="ttc" id="namespacecaffe__data__extractor_xhtml_a7aead736a07eaf25623ad7bfa1f0ee2d"><div class="ttname"><a href="namespacecaffe__data__extractor.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">caffe_data_extractor.type</a></div><div class="ttdeci">type</div><div class="ttdef"><b>Definition:</b> <a href="caffe__data__extractor_8py_source.xhtml#l00019">caffe_data_extractor.py:19</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">arm_compute::test::framework::LogLevel::ERRORS</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixture_xhtml_aa066ba38977b9ce2addae3ad1b9396b6"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixture.xhtml#aa066ba38977b9ce2addae3ad1b9396b6">arm_compute::test::validation::DirectConvolutionValidationFixture::setup</a></div><div class="ttdeci">void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels, DataType data_type)</div><div class="ttdef"><b>Definition:</b> <a href="_direct_convolution_layer_fixture_8h_source.xhtml#l00195">DirectConvolutionLayerFixture.h:195</a></div></div>
<div class="ttc" id="structarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization settings (used for QASYMM8 data type) </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00117">Types.h:117</a></div></div>
<div class="ttc" id="validation_2fixtures_2_convolution_layer_fixture_8h_xhtml"><div class="ttname"><a href="validation_2fixtures_2_convolution_layer_fixture_8h.xhtml">ConvolutionLayerFixture.h</a></div></div>
<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00072">Types.h:72</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
<div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
<div class="ttc" id="_asserts_8h_xhtml"><div class="ttname"><a href="_asserts_8h.xhtml">Asserts.h</a></div></div>
<div class="ttc" id="_fixture_8h_xhtml"><div class="ttname"><a href="_fixture_8h.xhtml">Fixture.h</a></div></div>
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